Masataka Tokumaru
Papers
15
Total Citations
77
H-Index
6
About
Masataka Tokumaru is a pioneering researcher at the intersection of social robotics and human-robot group dynamics, whose work fundamentally explores how robots can become genuine members of human social groups. His primary research areas include group norm learning, emotion generation for robots, and adaptive navigation in human-robot collectives. Tokumaru’s most significant contribution is his groundbreaking investigation into how robots can learn and obey the implicit social norms of human groups through interaction—a concept that moves beyond simple human-like behaviors toward true social adaptation. His 2020 study on social influence of group norms developed by human-robot groups (17 citations) demonstrates how robots can both shape and be shaped by group dynamics. He has also developed innovative emotion-generation models that allow robots to react differently based on human personality traits, and navigation models that enable robots to maintain appropriate interpersonal distances as group conditions change. Tokumaru’s work on sympathy expression models for bystander robots and decision-making frameworks that balance group norms with individual interests represents a sophisticated understanding of robot sociality. His research is essential reading for anyone interested in creating robots that can seamlessly integrate into human social environments.
Research Focus
Key Achievements
Top Papers
- 1Social Influence of Group Norms Developed by Human-Robot Groups17 citations · 2020
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- 5Emotion Generation Model with Growth Functions for Robots6 citations · 2013
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- 7Decision-Making Model for Robots that Consider Group Norms and Interests4 citations · 2022
- 8Developing Sophisticated Robot Reactions by Long-Term Human Interaction3 citations · 2013
- 9Effectiveness of a Sympathy Expression Model for the Bystander Robot3 citations · 2016
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